Overview of Capital Account Crisis - IMF
Overview of Capital Account Crisis - IMF
Overview of Capital Account Crisis - IMF
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INTERNATIONAL MONETARY FUND<br />
<strong>Capital</strong> <strong>Account</strong> Crises: Lessons for <strong>Crisis</strong> Prevention<br />
Atish Ghosh 1<br />
July 2006<br />
I. INTRODUCTION<br />
1. The financial crises that struck a number <strong>of</strong> emerging market countries in the 1990s<br />
and early twenty-first century were characterized by sudden reversals <strong>of</strong> capital flows that<br />
had pervasive macroeconomic consequences, including abrupt current account adjustment<br />
and collapsing real exchange rates and economic activity (Figure 1). But while the<br />
consequences <strong>of</strong> these crises were broadly similar, their causes appear to be bewilderingly<br />
different. Turkey (1993), Mexico (1994), and Russia (1998) were public sector funding<br />
crises. By contrast, the 1997 East Asian crises were mainly private sector phenomena. In<br />
Brazil (1998-99), Turkey (2000-01) and Argentina (2002) public sector debt dynamics<br />
played a key role—in the latter two cases, accompanied by a banking crisis. On the other<br />
hand, Uruguay (2002) was a banking crisis—caused by withdrawals <strong>of</strong> Argentine deposits—<br />
that spilled into a public sector debt problem and a balance <strong>of</strong> payments crisis.<br />
2. Nor has the academic literature been able to give a coherent and unified account that<br />
explains all <strong>of</strong> these crises. The first generation <strong>of</strong> currency crisis models (Krugman 1979,<br />
Flood and Garber 1984) emphasized the inconsistency between financing a budget deficit<br />
through money creation and trying to maintain a pegged exchange rate regime. Since these<br />
models did not seem to fit the 1992/93 European Exchange Rate Mechanism crises, a second<br />
generation <strong>of</strong> crisis models (Obstfeld 1994) was developed in which an inconsistent policy<br />
stance, combined with self-fulfilling shifts in investor sentiments, could give rise to multiple<br />
equilibria. Yet neither variant could explain the East Asian crises, necessitating a third<br />
generation that incorporated foreign exchange exposure <strong>of</strong> the private financial and corporate<br />
sectors. But this third generation <strong>of</strong> currency crisis models could not explain subsequent<br />
crises, such as Argentina (2002). And while the collapse <strong>of</strong> Argentina’s currency board<br />
1 Prepared for the High Level Seminar on <strong>Crisis</strong> Prevention, Singapore, July 10-11, 2006.<br />
The author is Division Chief, Policy Development and Review Department, <strong>IMF</strong>. The views<br />
expressed in this paper are those <strong>of</strong> the author and should not be attributed to the<br />
International Monetary Fund, its Executive Board, or its Management.
- 2 -<br />
Figure 1. Selected Macroeconomic Indicators: Mean 1/<br />
12<br />
Real GDP growth<br />
(In percent per year)<br />
40<br />
Inflation<br />
(In percent per year)<br />
9<br />
35<br />
30<br />
6<br />
25<br />
3<br />
20<br />
0<br />
15<br />
-3<br />
10<br />
5<br />
-6<br />
0<br />
-9<br />
t-3 t-2 t-1 t t+1 t+2 t+3<br />
-5<br />
t-3 t-2 t-1 t t+1 t+2 t+3<br />
20<br />
Real exchange rate<br />
(Annual change, in percent)<br />
15<br />
Current account balance<br />
(In percent <strong>of</strong> GDP)<br />
10<br />
10<br />
0<br />
5<br />
-10<br />
0<br />
-20<br />
-5<br />
-30<br />
t-3 t-2 t-1 t t+1 t+2 t+3<br />
-10<br />
t-3 t-2 t-1 t t+1 t+2 t+3<br />
Sources: International Monetary Fund; WEO database, and <strong>IMF</strong> staff estimates.<br />
1/ Averages (Mean) are given by the solid lines, with standard deviations around the mean given by the<br />
dotted lines. The sample consists <strong>of</strong> Argentina (1995 and 2002), Brazil (1999), Indonesia (1997), Malaysia<br />
(1997), Mexico (1997), Philippines (1997), Russia (1998), Thailand (1997), Turkey (2000), and Uruguay<br />
(2002).
- 3 -<br />
resulted mainly from a fiscal policy stance that was incompatible with the exchange rate<br />
regime, the crisis was not in the mold <strong>of</strong> the first generation models as the government was<br />
bond financing its deficit in a deflationary, rather than an inflationary, environment. 2<br />
3. All this suggests that understanding capital account crises—surely a prerequisite to<br />
preventing them—requires a more general analytical framework. The central thesis <strong>of</strong> this<br />
paper is that a capital account crisis requires—and is caused by—a combination <strong>of</strong> balance<br />
sheet weaknesses in the economy and a specific crisis trigger. The diversity <strong>of</strong> capital<br />
account crises is therefore not surprising because balance sheet weaknesses can take various<br />
forms, as can the specific factors that trigger the crisis. Much like a bomb that requires both<br />
an explosive material and a detonator to cause an explosion, neither the balance sheet<br />
weakness nor the crisis trigger on its own is likely to cause (as much) mischief. Thus an<br />
economy can live with currency and maturity mismatches in private or public sectoral<br />
balance sheets for years if, serendipitously, nothing triggers a crisis. Yet there are many<br />
possible crisis triggers, both external—contagion, a terms <strong>of</strong> trade shock, a deterioration in<br />
market conditions—and domestic, such as an inconsistent macroeconomic policy stance (see<br />
Table 1 for a summary <strong>of</strong> vulnerabilities and crisis triggers in selected emerging market<br />
countries).<br />
4. Since emerging market countries still typically lack the ability to borrow in their own<br />
currencies (especially at long maturities), some currency and maturity mismatches may be<br />
unavoidable. 3 In the same vein, while sound macroeconomic policies can help avoid certain<br />
crisis triggers, others may be beyond the control <strong>of</strong> the country. Therefore, national<br />
authorities should seek to avoid both balance sheet weaknesses and poor policies in order to<br />
minimize the likelihood <strong>of</strong> a crisis.<br />
5. The remainder <strong>of</strong> this paper is organized as follows. Drawing on recent work<br />
undertaken at the <strong>IMF</strong>, section II provides a few illustrative examples <strong>of</strong> how interactions<br />
between crisis triggers and underlying balance sheet vulnerabilities resulted in some <strong>of</strong> the<br />
recent capital account crises. 4 Section III draws some general lessons for reducing balance<br />
sheet vulnerabilities. Section IV turns to crisis prevention more generally, including some <strong>of</strong><br />
the possible roles <strong>of</strong> the <strong>IMF</strong>, highlighting measures that have been taken at the Fund since<br />
the mid-1990s in this direction. Section V concludes.<br />
2 See Box 2.1 <strong>of</strong> Roubini and Setser (2005) for a comparison <strong>of</strong> assumptions in different<br />
generations <strong>of</strong> models.<br />
3 Some countries, however, may find it rational to borrow in foreign currencies, given trend<br />
real appreciation <strong>of</strong> their currencies leading to low (or even negative) real interest rates. See<br />
Lipschitz et al. (2005) for a discussion <strong>of</strong> this case.<br />
4 This section draws heavily on Allen et al. (2000), and Rosenberg et al. (2005).
- 4 -<br />
Table 1. Taxonomy <strong>of</strong> Vulnerability and Triggers in Recent <strong>Capital</strong> <strong>Account</strong> Crises<br />
<strong>Crisis</strong> Balance sheet vulnerability <strong>Crisis</strong> trigger<br />
Mexico (1994)<br />
Argentina (1995)<br />
Thailand (1997)<br />
Korea (1997)<br />
Indonesia (1997)<br />
Government's short-term external<br />
(and FX-denominated) liabilities<br />
Banking system short-term<br />
external and peso and FXdenominated<br />
liabilities<br />
Financial and non-financial<br />
corporate sector external<br />
liabilities; concentrated exposure<br />
<strong>of</strong> finance companies to property<br />
sector<br />
Financial sector external<br />
liabilities (with substantial<br />
maturity mismatch) and<br />
concentrated exposure to<br />
chaebols; high corporate<br />
debt/equity ratio<br />
Corporate sector external<br />
liabilities; concentration <strong>of</strong><br />
banking system assets in real<br />
estate/property-related lending;<br />
high corporate debt/equity ratio<br />
Tightening U.S. monetary policy;<br />
political shocks (Chiapas;<br />
assassination <strong>of</strong> the presidential<br />
candidate)<br />
Mexican ("Tequila") crisis<br />
Terms <strong>of</strong> trade deterioration; asset<br />
price deflation.<br />
Terms <strong>of</strong> trade deterioration; falling<br />
pr<strong>of</strong>itability <strong>of</strong> chaebols; contagion<br />
from Thailand's crisis<br />
Contagion from Thailand's crisis;<br />
banking crisis<br />
Russia (1998)<br />
Government's short-term external<br />
financing needs<br />
Failure to implement budget deficit<br />
targets; terms <strong>of</strong> trade deterioration<br />
Brazil (1999)<br />
Government's short-term external<br />
liabilities<br />
Doubts about ability to implement<br />
budget cuts and loose budget proposal<br />
for 1999; current account deficit;<br />
contagion from Russian default<br />
Turkey (2000)<br />
Government short-term<br />
liabilities, banking system FXand<br />
maturity mismatches<br />
Widening current account deficit, real<br />
exchange rate appreciation, terms <strong>of</strong><br />
trade shock; uncertainty about<br />
political will <strong>of</strong> government to<br />
undertake reforms in the financial<br />
sector.<br />
Argentina (2002)<br />
Public and private sector external<br />
and FX-denominated liabilities.<br />
Persistent failure to implement budget<br />
deficit targets; inconsistency between<br />
currency board arrangement and<br />
fiscal policy; Russian default<br />
Uruguay (2002)<br />
Banking system short-term<br />
external liabilities.<br />
Argentine deposit freeze leading to<br />
mass withdrawls from Uruguay
- 5 -<br />
II. BALANCE SHEET VULNERABILITIES AND CRISIS TRIGGERS—SOME ILLUSTRATIVE<br />
EXAMPLES<br />
6. Traditional flow-based analysis focuses on the gradual build up <strong>of</strong> unsustainable<br />
budget and current account deficits. The balance sheet approach (BSA) complements such<br />
analysis by considering how shocks to stocks <strong>of</strong> assets and liabilities in sectoral balance<br />
sheets can lead to large adjustments that are manifested in capital outflows (and<br />
corresponding current account surpluses as external financing is withdrawn).<br />
7. While further disaggregation is possible, BSA typically analyzes four main sectoral<br />
balance sheets: the government sector (including the central bank), the private financial<br />
sector, the private non-financial sector (households and corporations), and the external sector<br />
(or “rest <strong>of</strong> the world”). This sectoral decomposition can reveal important vulnerabilities that<br />
are hidden when considering the country’s consolidated balance sheet (or its net position visà-vis<br />
the rest <strong>of</strong> the world). In particular, weaknesses in one sectoral balance sheet may<br />
interact with others, eventually spilling into a country-wide balance <strong>of</strong> payments crisis even<br />
though the original mismatch was not evident in the country’s aggregate balance sheet. A<br />
prime example is the foreign currency debt between residents, which <strong>of</strong> course gets netted<br />
out <strong>of</strong> the aggregate balance sheet, but may nevertheless contribute to a balance <strong>of</strong> payments<br />
crisis. For example, if the government has foreign currency debt to residents and faces a<br />
funding crisis, it will need to draw down the central bank’s foreign exchange reserves,<br />
possibly leading to a balance <strong>of</strong> payments crisis.<br />
8. More generally, a loss <strong>of</strong> confidence or a re-evaluation <strong>of</strong> risks in one sector can<br />
prompt sudden and large scale portfolio adjustments, such as massive withdrawals <strong>of</strong> bank<br />
deposits, panic sales <strong>of</strong> securities, or abrupt halts in debt rollovers. As the exchange rate,<br />
interest rates, and other prices adjust, other balance sheets can sharply deteriorate, in turn<br />
provoking creditors to shift toward safer foreign assets—resulting in capital outflows and<br />
further pressure on the exchange rate and reserves until there is a full-blown capital account<br />
crisis.<br />
9. The following examples show how weaknesses in sectoral balance sheets—currency<br />
and maturity mismatches, capital structure, and solvency—together with specific “triggers”<br />
resulted in some <strong>of</strong> the recent capital account crises. 5 While there is undoubtedly an element<br />
<strong>of</strong> “ex post rationalization” in identifying the crisis triggers, these examples are nevertheless<br />
useful in illustrating how exposures in different sectoral balance sheets can interact to<br />
produce vulnerabilities.<br />
5 The three examples—Thailand (1997), Argentina (2002), and Turkey (2000/2001)—are<br />
chosen from the list in Table 1 to represent three different sources <strong>of</strong> balance sheet<br />
vulnerabilties.
- 6 -<br />
Thailand (1997)<br />
10. Thailand’s devaluation on July 2, 1997 was the first in a wave <strong>of</strong> capital account<br />
crises that afflicted East Asia, eventually engulfing Korea, Indonesia, Malaysia, and the<br />
Philippines. The macroeconomic consequences for Thailand were pervasive, with real GDP<br />
growth falling from 9 percent in 1994/95 to -11 percent in 1998, the current account<br />
swinging from a deficit <strong>of</strong> 8 percent <strong>of</strong> GDP in 1996 to a surplus <strong>of</strong> 13 percent <strong>of</strong> GDP<br />
in 1998, and external debt rising from 60 percent <strong>of</strong> GDP at end-1996 to 94 percent <strong>of</strong> GDP<br />
by end-1998.<br />
Balance sheet vulnerabilities<br />
11. What were the underlying balance sheet vulnerabilities? Although available data are<br />
incomplete, Table 2 provides a snapshot (as <strong>of</strong> end-1996) <strong>of</strong> the main sectoral liabilities.<br />
Table 2. Thailand: Sectoral Foreign Assets and Liabilities, end-1996<br />
(In billions <strong>of</strong> U.S. dollars)<br />
Assets Liabilities<br />
Net<br />
General government 38.7 5.2 33.5<br />
Short-term 38.7 0.0 38.7<br />
Medium- and long-term 0.0 5.1 -5.1<br />
Commercial banks 7.0 48.1 -41.1<br />
Short-term 2.6 28.2 -25.6<br />
Medium- and long-term 4.4 19.9 -15.5<br />
Domestic FX 0.0 0.0 0.0<br />
Non-banks 0.5 98.0 -97.5<br />
Short-term 0.5 23.6 -23.1<br />
Medium- and long-term 0.0 42.9 -42.9<br />
Domestic FX 0.0 31.5 -31.5<br />
Subtotal<br />
Short-term 41.8 51.8 -10.0<br />
Medium- and long-term and domestic FX 4.4 99.5 -95.0<br />
Total 46.2 151.3 -105.1<br />
Source: Figures 1 and 2 <strong>of</strong> Allen et al. (2002).<br />
• Thailand’s short-term liability position vis-à-vis the rest <strong>of</strong> the world was US$10 billion,<br />
but this masked the huge currency and maturity mismatches <strong>of</strong> the banking and nonfinancial<br />
sectors.<br />
• Short-term net foreign liabilities <strong>of</strong> the banking system were US$25.6 billion (=US$28.2-<br />
US$2.6 billion). Even if some <strong>of</strong> its medium- and long-term assets (US$4.4 billion) could
- 7 -<br />
be made liquid, there remained a potential financing gap <strong>of</strong> US$21 billion if short-term<br />
liabilities could not be rolled over.<br />
• Of the non-bank sector’s total liabilities, some US$66.4 billion was owed to foreigners in<br />
foreign currency (including equity, which would likely be converted into foreign<br />
currency if foreigners withdrew), <strong>of</strong> which US$23.6 billion was short-term.<br />
• Commercial banks were covering their overall (short- and long-term) FX-denominated<br />
liabilities <strong>of</strong> US$48.1 billion 6 with foreign assets <strong>of</strong> US$7.0 billion and FX-denominated<br />
claims on domestic residents <strong>of</strong> US$31.5 billion, leaving a net FX liability position <strong>of</strong><br />
US$9.6 billion. However, this assumed that domestic residents would be able to cover the<br />
US$31.5 billion <strong>of</strong> FX-liabilities in the event <strong>of</strong> a devaluation. The non-financial sector’s<br />
foreign liabilities amounted to US$98 billion (against foreign asset holdings <strong>of</strong> just<br />
US$0.5 billion). Thus, to the extent that the non-financial sector did not have a natural<br />
FX hedge (i.e., were not exporters), the US$31.5 billion <strong>of</strong> FX-risk <strong>of</strong> the banking system<br />
had simply been transformed into credit risk. 7 Compounding this risk was the weak<br />
capital structure <strong>of</strong> the corporate sector in Thailand (and in Asia, more generally), with an<br />
average debt-equity ratio <strong>of</strong> 196.<br />
These mismatches meant that Thailand’s vulnerability to a crisis was far greater than the<br />
US$10 billion aggregate short-term liability position to the rest <strong>of</strong> the world would suggest.<br />
<strong>Crisis</strong> Trigger<br />
12. In the event, the proximate trigger <strong>of</strong> the crisis was the asset price deflation (stock<br />
prices fell by 60 percent between mid-1996 and mid-1997, while inflation-adjusted property<br />
prices fell by 50 percent between end-1991 and end-1997). This called into question the<br />
creditworthiness <strong>of</strong> the non-financial sector and therefore the quality <strong>of</strong> banks’ assets,<br />
including its FX cover. Against a background <strong>of</strong> an unsustainable current account deficit<br />
(which had reached 8 percent <strong>of</strong> GDP in 1996), a significant real exchange rate appreciation,<br />
and a weakening fiscal balance, pressures on the Thai baht increased during 1996 and the<br />
first half <strong>of</strong> 1997. Of the US$38 billion <strong>of</strong> foreign exchange reserves at end-1996, the Bank<br />
<strong>of</strong> Thailand used up some US$7 billion in foreign exchange intervention plus increasing its<br />
FX forward and swap obligations from about US$5 billion to almost US$30 billion.<br />
Information on the counterparties to these <strong>of</strong>f-balance sheet swap operations is not available.<br />
To the extent that these were Thai banks, this would have decreased the (on-balance sheet)<br />
FX exposure <strong>of</strong> the banking system without implying a loss for the country as a whole. But if<br />
they were nonresident entities, this would have meant that the country had only US$3 billion<br />
6 This assumes that all medium-term liabilities to the external sector were denominated in<br />
foreign currency.<br />
7 Writing <strong>of</strong>f the claims <strong>of</strong> the banking sector on the non-financial sector would, obviously,<br />
worsen the balance sheet <strong>of</strong> the former, to US$41 billion.
- 8 -<br />
<strong>of</strong> foreign exchange reserves, plus about US$3 billion <strong>of</strong> banks’ short-term foreign assets, to<br />
cover some US$48 billion <strong>of</strong> short-term liabilities.<br />
Argentina (2002)<br />
13. Weaknesses in Argentina’s public sector balance sheet are well known. In particular,<br />
by end-2001, foreign currency denominated public debt had reached 62 percent <strong>of</strong> GDP, and<br />
gross financing need <strong>of</strong> the government had risen to 14 percent <strong>of</strong> GDP, while the central<br />
bank’s gross foreign assets amounted to less than 5 percent <strong>of</strong> GDP (which was in any case<br />
required for backing the central bank’s domestic monetary liabilities under the convertibility<br />
law). Much less well-known are weaknesses in the private sector’s balance sheets and how<br />
these contributed to the crisis.<br />
Balance sheet vulnerabilities<br />
14. In fact, private sector currency mismatches were severe, with foreign currency debt<br />
larger (in relation to exports) than in the East Asian crisis—notoriously considered to be<br />
“private sector-driven” crises. At end-2000, the Argentine corporate sector had borrowed<br />
some US$37 billion externally as well as US$30 billion from the domestic banking sector—<br />
for a total FX exposure <strong>of</strong> 194 percent <strong>of</strong> exports. 8 In part, this was because domestic banks<br />
had to lend in foreign currency in order to narrow their own FX-exposure arising from<br />
foreign currency deposits. As in Thailand, however, this meant that banks’ FX-risk was<br />
being transformed into credit risk on households and corporations—neither <strong>of</strong> which had<br />
significant natural hedging opportunities as Argentina’s export sector was small, and<br />
households were using the loans for home mortgages.<br />
15. Argentina also lost more reserves in 2001 as a result <strong>of</strong> a bank run than as a result <strong>of</strong><br />
the government’s inability to access external markets for its financing needs. This was<br />
because the relatively long maturity <strong>of</strong> the government’s debt limited the pace at which<br />
international investors could withdraw, while convertibility allowed depositors to withdraw<br />
peso deposits and convert them into dollars. Of course, this run from peso deposits was not<br />
unrelated to the public sector’s funding difficulties—not least because depositors recalled<br />
how previous crises had resulted in deposit freezes (which, indeed, later happened in<br />
the 2002 crisis as well).<br />
16. Table 3 presents a simplified balance sheet <strong>of</strong> the banking sector. The balance sheet<br />
provides two important insights:<br />
• During 2001, domestic deposits and external liabilities fell by some US$24 billion,<br />
requiring the banking system to reduce its lending to the private sector by some<br />
8 By contrast, the corresponding exposure in terms <strong>of</strong> exports was 160 percent in Thailand<br />
and 60 percent in Korea.
- 9 -<br />
US$12 billion, run down liquid assets by US$5 billion, and borrow some US$9 billion<br />
Table 3. Argentina: Principal Assets and Liabilities <strong>of</strong> the Banking System<br />
(in billions <strong>of</strong> U.S. dollars)<br />
End-1998 End-1999 End-2000 End-2001<br />
Principal assets<br />
Cash and liquid assets 8.4 8.4 8.3 3.4<br />
Domestic currency 2.9 2.8 2.5 1.9<br />
Foreign currency and liquid assets 5.5 5.6 5.9 1.5<br />
Loans to and securities issued by the public sector 23.5 28.2 28.7 30.1<br />
Domestic currency 4.8 5.5 3.7 3.4<br />
Foreign currency 18.7 22.7 25.0 26.7<br />
Loans to and securities issued by the private sector 70.5 68.4 65.8 54.2<br />
Domestic currency 26.9 25.9 25.0 15.0<br />
Foreign currency 43.7 42.5 40.9 39.1<br />
Subtotals<br />
Domestic currency assets 34.5 34.1 31.1 20.2<br />
Foreign currency assets 68.0 70.9 71.9 67.4<br />
102.5 105.0 102.9 87.6<br />
Principal liabilities<br />
Deposits 77.3 79.9 83.2 67.3<br />
Domestic currency 37.3 35.8 34.7 21.7<br />
Foreign currency 40.0 44.2 48.5 45.6<br />
External obligations 21.4 22.8 24.1 16.3<br />
Domestic currency 0.5 0.5 0.4 0.1<br />
Foreign currency 20.9 22.2 23.7 16.2<br />
Subtotals<br />
Domestic currency liabilities 37.8 36.3 35.1 21.7<br />
Foreign currency liabilities 60.9 66.4 72.2 61.8<br />
98.7 102.7 107.3 83.5<br />
Central bank support 0.3 0.2 0.1 9.2<br />
Domestic currency 0.3 0.2 0.0 4.1<br />
Foreign currency 1/ ... ... 0.1 5.1<br />
Liabilities, including liabilities to central bank 99.0 103.0 107.5 92.7<br />
Source: Table 4.2 <strong>of</strong> Rosenberg et al. (2005). Central Bank <strong>of</strong> Argentina presentation based<br />
on Lagos (2002).<br />
1/ Data from Lagos (2002). Central Bank <strong>of</strong> Argentina (BCRA) swap obligations disaggregated from other<br />
obligations due to financial intermediation in BCRA data.
- 10 -<br />
from the central bank. Moreover, as domestic currency deposits fell more rapidly than<br />
foreign currency deposits, banks had to reduce their domestic currency-denominated<br />
lending faster than their FX-denominated lending, even though domestic currency loans<br />
were more likely to perform in the event <strong>of</strong> a devaluation, as opposed to FX-denominated<br />
loans, which were likely to turn non-performing. (See Figure 2 for an illustration <strong>of</strong><br />
maturity mismatches, including and excluding domestic foreign currency deposits.)<br />
Figure 2. Argentina: Maturity Mismatches: With and Without<br />
Foreign Currency Deposits, 2001<br />
(in billions <strong>of</strong> U.S. dollars)<br />
Maturity Mismatch in<br />
External Position<br />
32.8<br />
32.8<br />
Maturity Mismatch<br />
in Foreign Currency<br />
(Including Domestic<br />
Foreign Currency<br />
Deposits)<br />
-8.2<br />
-41.0<br />
Liquid assets<br />
Short-term liabilities<br />
Mismatch<br />
-89.5<br />
-56.7<br />
Source: Figure 4.1 <strong>of</strong> Rosenberg et al. (2005). Country authorities and Fund staff<br />
estimates.<br />
• The balance sheet also shows the banking sector’s exposure to the government, with<br />
credit to the private sector representing 28 percent <strong>of</strong> bank’s assets at the end <strong>of</strong> 2000,<br />
and 35 percent <strong>of</strong> its FX-denominated assets. But far from being a source <strong>of</strong> strength to<br />
the banking sector facing a deposit run, the government—facing its own gross financing<br />
needs <strong>of</strong> some US$37 billion—was a source <strong>of</strong> weakness. The government could not<br />
draw on the central bank’s reserves to meet its financing needs, as these were required to<br />
back the central bank’s monetary liabilities, so the government had to turn to banks both<br />
to roll over its maturing debts and to provide additional financing. This meant that banks
- 11 -<br />
could not reduce their exposure to the government to meet the deposit outflow without<br />
triggering a government funding crisis, and instead had to run down their own external<br />
assets—the one asset that would have continued to perform in the event <strong>of</strong> default and<br />
devaluation. Banks also had to reduce their domestic currency lending to the private<br />
sector, though these were more likely to perform in the event <strong>of</strong> a devaluation.<br />
<strong>Crisis</strong> trigger<br />
17. Argentina’s experience illustrates how currency and maturity mismatches in the<br />
public and private sector balance sheets can interact to exacerbate vulnerabilities. But what<br />
triggered the crisis? In contrast to some other capital account crises (e.g., Uruguay) where a<br />
specific event triggered the crisis, Argentina’s 2002 crisis was the culmination <strong>of</strong> a prolonged<br />
period over which it became increasingly apparent that fiscal policy was not consistent with<br />
the pegged exchange rate under the currency board arrangement regime. Traditional currency<br />
crisis models would suggest that if the central bank expands domestic credit at a faster rate<br />
then the growth in money demand, then the exchange rate peg will eventually collapse.<br />
However, this was not the case in Argentina, where the central bank largely remained within<br />
the strictures <strong>of</strong> the currency board regime. Nevertheless, Argentina’s fiscal policy was<br />
intertemporally inconsistent with its exchange rate peg.<br />
18. In particular, the “fiscal theory <strong>of</strong> price determination” emphasizes the intertemporal<br />
budget constraint <strong>of</strong> the consolidated public sector (including the central bank), whereby the<br />
nominal stock <strong>of</strong> liabilities—outstanding government debt and base money stock—deflated<br />
by the price level must equal the present value <strong>of</strong> primary surpluses and seignorage. 9<br />
Assuming that the public sector does not repudiate its obligations (either bonds or base<br />
money), the intertemporal budget constraint must be satisfied. But there are two ways in<br />
which this may happen. In a money dominant regime, the price level is determined, and it is<br />
the stream <strong>of</strong> primary surpluses on the right-hand-side <strong>of</strong> the equation that must adjust to<br />
maintain the government’s solvency. In a fiscal dominant regime, the stream <strong>of</strong> future<br />
primary surpluses is given, and it is the price level that must adjust to ensure that the<br />
government’s present value budget constraint is satisfied.<br />
9 In mathematical terms:<br />
∞<br />
D ( )<br />
t<br />
+ M ⎧ s<br />
t<br />
t+ j<br />
+ θt+<br />
j ⎫<br />
= E<br />
t ⎨∑ j ⎬<br />
(1)<br />
Pt<br />
⎩ j=<br />
0 (1 + r)<br />
⎭<br />
where D t is the nominal stock <strong>of</strong> outstanding government debt inherited at the beginning <strong>of</strong><br />
period t, M t is the nominal stock <strong>of</strong> money (net <strong>of</strong> the central bank’s foreign exchange<br />
reserves and credit to the economy) inherited at the beginning <strong>of</strong> period t, P is the price level,<br />
s is the primary surplus and θ is central bank seignorage (in real terms), (1+r) is the<br />
economy’s discount factor, and E{ •}<br />
is the expectations operator.
- 12 -<br />
19. Under a pegged exchange rate, the domestic price level is determined by the<br />
exchange rate (for instance, by purchasing power parity or—more generally—by the<br />
requirement that the exchange rate not become uncompetitive) and cannot, in general, adjust<br />
to satisfy the intertemporal budget constraint. Therefore, to be viable, an exchange rate peg<br />
requires that macroeconomic policies operate under a “money dominant” regime.<br />
Argentina’s 2002 crisis came about as it became increasingly apparent that the country was<br />
in a fiscal dominant regime such that the requisite fiscal surpluses were unlikely to be<br />
generated to satisfy the public sector’s intertemporal budget constraint. 10<br />
Turkey (2000/01)<br />
20. In late-2000 and early 2001, Turkey suffered twin banking and balance <strong>of</strong> payments<br />
crises when it was about ten months into an exchange-rate based disinflation program. The<br />
disinflation program had been intended to tackle the unsustainable public debt dynamics<br />
which had resulted in a public sector borrowing requirement <strong>of</strong> 20 percent <strong>of</strong> GDP (and a<br />
debt ratio <strong>of</strong> 60 percent <strong>of</strong> GDP) with inflation averaging 80 percent during the 1990s.<br />
Balance sheet vulnerabilities<br />
21. A significant share <strong>of</strong> the public debt was in foreign currency or in short-term<br />
domestic currency denominated Treasury bills, partly held by foreign investors. But while<br />
weaknesses <strong>of</strong> the public sector’s balance sheet were well known, the banking system also<br />
had a highly vulnerable balance sheet. First, because <strong>of</strong> the history <strong>of</strong> high inflation, the<br />
average maturity <strong>of</strong> local currency deposits was short, and half <strong>of</strong> its deposits were in foreign<br />
currency. Second, the public sector’s large borrowing requirements had crowded out the<br />
private sector, with more than half <strong>of</strong> banks’ assets being claims on the public sector<br />
(Figure 3).<br />
22. The state banks’ balance sheets had massive maturity mismatches. Forced to extend<br />
subsidized credits, they accumulated receivables from the government (“duty losses”),<br />
requiring them to borrow heavily at short-term from households and, later in 2000, in the<br />
overnight market to meet their liquidity needs.<br />
23. Meanwhile, private banks were running large currency mismatches for the “carry<br />
trade” <strong>of</strong> borrowing at low cost abroad and investing in high yield local currency government<br />
treasury bills. The pre-announced exchange rate crawl—integral to the disinflation<br />
strategy—provided further incentive for this arbitrage. While there were limits (15 percent <strong>of</strong><br />
capital) on the open FX-position that banks were allowed to run, much <strong>of</strong> the banks’ cover<br />
was in the form <strong>of</strong> forwards with other Turkish banks or claims on domestic residents that<br />
did not have natural hedges. Excluding such cover, the open FX position on the eve <strong>of</strong> the<br />
crisis is estimated to have been some 300 percent <strong>of</strong> bank capital (Figure 4). The initial<br />
10 Indeed, given Brazil’s devaluation in early 1999, the equilibrium price level in Argentina<br />
(at a constant nominal exchange rate) had fallen, making it even more difficult to satisfy the<br />
budget constraint (1) in footnote 9 above.
- 13 -<br />
success <strong>of</strong> the disinflation program in lowering nominal and real interest rates also<br />
encouraged banks to buy longer-term fixed-rate government bonds to “lock-in” the high<br />
interest rates, but as they continued to fund themselves mainly with short-term deposits and<br />
the overnight “repo” market, banks’ maturity mismatch worsened as well.<br />
100<br />
Figure 3. Turkey: Banking Sector Assets<br />
(in percent)<br />
Claims on the government<br />
Claims on the private sector<br />
80<br />
60<br />
40<br />
20<br />
0<br />
1993 1994 1995 1996 1997 1998 1999 2000 2001 2002<br />
Source: Figure 4.10 <strong>of</strong> Rosenberg et al. (2005). Country authorities and <strong>IMF</strong> staff<br />
estimates.<br />
24. Overall, therefore, the banking system’s balance sheet was highly vulnerable to an<br />
interest rate or exchange rate shock, as banks were borrowing short-term in foreign currency<br />
and lending in local currency to the government at increasingly long maturities.<br />
Domestically, banks were borrowing short term and also lending at much longer term to the<br />
government. However, given the combined public and banking sector balance sheet<br />
mismatches, policy options were limited. The government could have decreased banks’<br />
currency mismatch by issuing FX-denominated bonds (as it subsequently did) but at the cost<br />
<strong>of</strong> increasing its own currency mismatch. 11 On the other hand, if banks had sought to rapidly<br />
11 During Brazil’s 1999 currency crisis, the government increased its own currency mismatch<br />
to help protect the banking system but had substantial foreign currency reserves that enabled<br />
(continued…)
- 14 -<br />
reduce their currency mismatches either by reducing FX-denominated liabilities or by<br />
acquiring other foreign assets, this would have resulted in higher interest rates which would<br />
not only undermine the government’s debt sustainability but also create losses for banks that<br />
had maturity mismatches.<br />
0<br />
Figure 4. Turkey: Banks' Net Open Foreign Currency<br />
Positions<br />
(in billions <strong>of</strong> U.S. dollars)<br />
-5<br />
-10<br />
-15<br />
Excluding forwards<br />
Including forwards and foreigncurrency-indexed<br />
assets<br />
-20<br />
Jan. 2000 Sep. 2000 Dec. 2000 Mar. 2001 Dec. 2001 Dec. 2002<br />
Source: Figure 4.12 <strong>of</strong> Rosenberg et al. (2005). Country authorities and<br />
<strong>IMF</strong> staff estimates.<br />
<strong>Crisis</strong> trigger<br />
25. The crisis occurred in November 2000 amidst uncertainty about the government’s<br />
will to tackle politically sensitive bank restructurings and against a backdrop <strong>of</strong> a widening<br />
current account deficit (which had reached 7 percent <strong>of</strong> GDP) and a substantial real exchange<br />
rate appreciation as inflationary dynamics—though sharply slowing—outstripped the preannounced<br />
rate <strong>of</strong> crawl. The exodus <strong>of</strong> foreign funds led to a spike in interest rates, which<br />
caused a drop in the value <strong>of</strong> banks’ holdings <strong>of</strong> fixed-rate government bonds as well as<br />
increasing their funding costs. When the peg was abandoned in February 2001—following a<br />
further exodus triggered by a political crisis—banks’ net foreign currency exposure was<br />
revealed. While the fragility <strong>of</strong> the public sector’s balance sheet had contributed to the crisis,<br />
it to do so. The strategy worked in that the economic impact <strong>of</strong> the subsequent devaluation<br />
was one <strong>of</strong> the mildest among capital account crises.
- 15 -<br />
in the aftermath its balance sheet deteriorated significantly. First, the share <strong>of</strong> domestic debt<br />
at floating rates rose as investors demanded protection against further interest rate increases<br />
(and banks sought to reduce the maturity mismatch between short-term deposits and longerterm<br />
government bonds). Second, in an effort to avoid a collapse <strong>of</strong> the banking system, the<br />
government provided a blanket guarantee for banks’ liabilities and issued bonds for their<br />
recapitalization. These bonds increased public debt by 30 percent <strong>of</strong> GDP to almost<br />
90 percent <strong>of</strong> GDP at end-2001.<br />
III. IDENTIFYING BALANCE SHEET VULNERABILITIES<br />
26. The examples above illustrate how currency and maturity mismatches in sectoral<br />
balance sheets, and linkages between them, can contribute to the likelihood that a capital<br />
account crisis could be—and ultimately was—triggered. At the same time, given emerging<br />
market countries’ limited ability to borrow in their own currencies (“original sin”), there<br />
must be FX-exposure in some sectoral balance sheet in the economy. This also means that<br />
any “hedging” will either be incomplete or that, in effect, the country is not a net recipient <strong>of</strong><br />
capital from the rest <strong>of</strong> the world. Therefore, the key to reducing vulnerability is to try to<br />
limit currency, maturity, and capital structure mismatches and ensure that risks—including to<br />
real shocks—are ultimately contained by strong balance sheets within the economy. 12<br />
27. Although balance sheet analysis is still in its infancy, the examples cited above<br />
suggest some conclusions:<br />
• The banking system <strong>of</strong>ten acts as a key transmission channel <strong>of</strong> balance sheet problems<br />
from one sector into another. If a shock in the corporate sector (Asian crisis countries) or<br />
the public sector (Russia 1998, Turkey 2001, Argentina 2002) results in it being unable to<br />
meet its liabilities, then another sector—typically the banking sector—loses its claims. In<br />
turn, this can cause a deposit run, sparking a banking crisis, especially if the<br />
government’s own balance sheet is too weak to provide credible deposit insurance or<br />
lacks international reserves to provide liquidity support in foreign exchange. By the same<br />
token, if banks tighten their lending to prevent their portfolios from deteriorating, then<br />
this further complicates the situation <strong>of</strong> the corporate or public sector that is facing<br />
financing difficulties.<br />
• If the government’s balance sheet is sufficiently strong, it can serve as a “circuit<br />
breaker,” halting the propagation <strong>of</strong> shocks across domestic balance sheets. In a number<br />
<strong>of</strong> recent crises (e.g., Argentina 2002), however, the government balance sheet was the<br />
12 To use an analogy, lightning strikes might leave a house at risk <strong>of</strong> burning down and while<br />
measures can be taken to reduce that risk (e.g., installing a lightning conductor), some risk<br />
may be unavoidable. By purchasing insurance, however, the homeowner transfers the<br />
associated financial risk from his own relatively weak, undiversified balanced sheet to that <strong>of</strong><br />
the insurance company, which is much stronger in that it holds diversified risks.
- 16 -<br />
main source <strong>of</strong> weakness, precluding such a role. Indeed, banks typically want to hold<br />
government securities as they may be the only liquid, domestic-currency denominated<br />
assets. However, if—as in Argentina—the government defaults on its debt, then this can<br />
be a source <strong>of</strong> vulnerability to the banking sector. 13<br />
• Available foreign exchange reserves or contingent financing may be especially valuable<br />
in reducing the economy’s balance sheet vulnerabilities as they can be used to cover<br />
short-term financing needs <strong>of</strong> the public sector, to provide a partial lender <strong>of</strong> last resort<br />
function in dollarized economies, or to help close the private sector’s foreign currency<br />
mismatch—insulating the economy from the impact <strong>of</strong> a devaluation—by providing<br />
liquidity to banks. However for contingent financing to be useful, it must be very quickly<br />
accessible.<br />
• Maturity and currency mismatches are sometimes hidden in indexed or floating rate<br />
instruments. For instance, in Brazil, liabilities may be formally denominated in local<br />
currency but linked to the exchange rate. 14 Likewise, an asset may have a long maturity<br />
but carry a floating interest rate. Such indexation <strong>of</strong>ten creates the same mismatches as if<br />
the debt were denominated in foreign currency or as if the maturity were as short as the<br />
frequency <strong>of</strong> the interest rate adjustments.<br />
• As was the case both in Thailand and in Argentina, balance sheet linkages can transform<br />
one type <strong>of</strong> risk into another without necessarily reducing that risk. For example, the<br />
banking system may try to close its FX mismatch on foreign currency deposits by lending<br />
to domestic corporations in foreign currency. However, if the non-financial sector<br />
recipients <strong>of</strong> those loans do not have natural hedges (e.g., have export revenues), then the<br />
banking system’s currency risk is simply transformed into credit risk.<br />
• Off-balance sheet items can substantially alter the overall risk exposure—reducing or<br />
increasing balance sheet exposures according to whether an underlying position is being<br />
hedged or the entity is taking a speculative position in the derivatives markets. However,<br />
such transactions can also mask vulnerabilities, for instance as risk from a balance sheet<br />
mismatch is transformed into counterparty risk. In aggregate, a sectoral balance sheet<br />
may appear hedged through the derivative markets but may still be exposed to the risk if<br />
13 This suggests that, when the government’s balance sheet is relatively weak, multilateral<br />
organizations could usefully issue debt denominated in emerging market country currencies,<br />
thus providing a domestic-currency denominated asset to the banking sector without the<br />
corresponding default risk. Multilateral organizations would, however, assume the<br />
corresponding currency risk.<br />
14 Over the past couple <strong>of</strong> years, the Brazil government has gradually eliminated much <strong>of</strong> its<br />
foreign currency-indexed debt.
- 17 -<br />
the counterparties are connected. 15 For example, in Turkey, the banking system open FX<br />
exposure was small when forward transactions were included, but the main<br />
counterparties in these forward transactions were other Turkish banks.<br />
• The ultimate buffer for private sector balance sheet mismatches (e.g., currency/FX) is<br />
capital. A major source <strong>of</strong> vulnerability in the East Asian crises was the very high debtequity<br />
ratios (Table 4).<br />
Table 4. Average corporate debt-to-equity ratios in selected countries<br />
(in percent)<br />
Thailand<br />
Taiwan Province<br />
<strong>of</strong> China<br />
United States Germany Malaysia Japan Korea<br />
196 90 106 144 160 194 317<br />
Source: Table 3, Annex II, <strong>of</strong> Allen et al. (2002).<br />
• Pegged exchange rate regimes, by <strong>of</strong>fering an implicit exchange rate guarantee, might<br />
encourage greater risk taking in the form <strong>of</strong> open (mismatched) FX-positions. As noted<br />
above, to the extent that emerging market countries’ ability to borrow in their own<br />
currency is limited, there must be aggregate foreign currency exposure associated with<br />
foreign liabilities (i.e., obligations to non-residents). Nevertheless, there are at least two<br />
ways in which pegged exchange rates might exacerbate foreign currency risk:<br />
• The implicit guarantee might encourage more “carry trade” (arbitrage between<br />
low-cost foreign currency borrowing and higher domestic interest rates at a<br />
given exchange rate) resulting either in greater total foreign borrowing or a<br />
bias towards shorter maturity foreign liabilities (Thailand 1997), Turkey<br />
2001/02).<br />
• Again by providing an implicit exchange rate guarantee, the pegged exchange<br />
rate might encourage more domestic “dollarization”—i.e., holding <strong>of</strong> foreign<br />
currency-denominated assets and liabilities by residents, though neither logic<br />
nor empirical evidence particularly supports this. 16<br />
15 For example, a bank may be closing its spot FX exposure through a derivative transaction<br />
with its parent conglomerate; such practices apparently occurred in Turkey prior to the 2000<br />
crisis.<br />
16 As pointed out in Lessons from the <strong>Crisis</strong> in Argentina (<strong>IMF</strong> Occasional Paper No. 236),<br />
the exchange rate guarantee implicit in a pegged regime (or currency board) cannot<br />
simultaneously explain both asset and liability dollarization. For instance, if the peg is<br />
credible, households may want to borrow in foreign currency (since FX interest rates are<br />
(continued…)
- 18 -<br />
IV. TOWARDS CRISIS PREVENTION<br />
28. The discussion above suggests where balance sheet vulnerabilities might lurk and<br />
how they may interact with specific triggers that result in a full blown crisis. The first step in<br />
crisis prevention is to try to avoid such vulnerabilities—in particular, to ensure that the<br />
government is not (perhaps inadvertently) providing incentives that exacerbate balance sheet<br />
mismatches. It is a truism that sound macroeconomic policies also lessen—but do not<br />
eliminate—the possibility that a crisis will be triggered.<br />
29. What can the Fund do to prevent crises? Surveillance is certainly at the heart <strong>of</strong> any<br />
response in that regard (see Box 1). While Fund-supported programs are usually thought <strong>of</strong><br />
in the context <strong>of</strong> crisis resolution, recent analytical work at the <strong>IMF</strong>—Ramakrishnan and<br />
Zalduendo (2006)—has examined a possible role in the context <strong>of</strong> crisis prevention as well.<br />
30. What factors might determine whether a crisis is triggered? The analysis considers<br />
the experience <strong>of</strong> 27 emerging market countries over the period 1994-04 and identifies 32<br />
episodes <strong>of</strong> “high market pressure” (i.e., when the real exchange rate was depreciating, the<br />
country was losing foreign exchange reserves, or sovereign bond spreads were widening). Of<br />
these 32 episodes, 11 turned into capital account crises while the other 21 did not (Table 5).<br />
31. The intriguing question is why those 11 cases—and not the others—turned into<br />
crises. Part <strong>of</strong> the answer is presumably that the balance sheet vulnerabilities were more<br />
acute in the crisis cases. However, a full comparison between the balance sheet<br />
vulnerabilities in the 32 episodes was beyond the scope <strong>of</strong> the study. 17 Nevertheless, it is<br />
noteworthy that the crisis countries had significantly higher external debt and short-term<br />
debt-to-reserves ratios than the countries that managed to avoid the crisis despite the high<br />
market pressure episode.<br />
typically lower and there is little risk <strong>of</strong> a devaluation) but then they would not want to hold<br />
dollar deposits. Conversely, if there are doubts about the viability <strong>of</strong> the peg, households<br />
would want to hold dollar deposits but not borrow in foreign currency. Empirically, there<br />
does not seem to be any association between pegged exchange rate regimes and dollarization<br />
<strong>of</strong> the banking system.<br />
17 Comparisons across episodes about the susceptibility <strong>of</strong> the country to a crisis are also<br />
difficult because the balance sheet vulnerability typically interacts with a specific crisis<br />
trigger.
- 19 -<br />
Box 1. Surveillance at the <strong>IMF</strong><br />
As described by Lane (2005), greater emphasis in surveillance has been placed on<br />
crisis prevention. Efforts to that end include consideration <strong>of</strong> both stock and flow<br />
imbalances (the former as part <strong>of</strong> the balance sheet approach), better financial sector<br />
surveillance, and a more systematic debt sustainability analysis (DSA). Early warning<br />
<strong>of</strong> possible external imbalances is being attempted through regular vulnerability<br />
exercises, established in 2001, which provide cross-country assessments <strong>of</strong> underlying<br />
weaknesses in economic fundamentals as well as near-term crisis risks. Financial<br />
sector surveillance and adherence to international standards in various areas have been<br />
improved through the use <strong>of</strong> the Financial Sector Assessment Program (FSAP),<br />
integration <strong>of</strong> financial sector issues in the Article IV consultations with member<br />
countries, as well as Reports on Standards and Codes (ROSCs). 18 Additionally, greater<br />
emphasis on transparency, including publication <strong>of</strong> Fund documents and subscription<br />
to the Special Data Dissemination Standard (SDDS), has facilitated the flow <strong>of</strong> timely<br />
information to the market, perhaps limiting adverse self-fulfilling expectations. Debt<br />
sustainability assessments—required <strong>of</strong> all Article IV consultation reports—provide a<br />
consistency check on baseline medium-term projections, and further identify possible<br />
medium-term vulnerabilities.<br />
18 As highlighted by the McDonough Commission report, further progress could still be<br />
made in this area. The Managing Director’s Medium Term Strategy also puts a premium on<br />
further strengthening the Fund’s financial sector surveillance capabilities.
- 20 -<br />
Table 5. Classification <strong>of</strong> <strong>Capital</strong> <strong>Account</strong> Crises (KAC) and Control Group (CG) Episodes<br />
Episode<br />
Country<br />
Beginning date <strong>of</strong> market<br />
pressure<br />
Identifying Market Pressures 1/<br />
End date <strong>of</strong> market<br />
pressure<br />
Duration <strong>of</strong><br />
pressure in<br />
months 3/<br />
Number <strong>of</strong><br />
months with<br />
pressure<br />
KAC or CG<br />
Episodes 2/<br />
1 Argentina 2001 July 2002 May 11 6 KAC<br />
2 Brazil 1998 August 1999 January 6 3 KAC<br />
3 Bulgaria 1996 May 1996 May 1 1 KAC<br />
4 Ecuador 2000 January 2000 January 1 1 KAC<br />
5 Indonesia 1997 October 1998 January 4 3 KAC<br />
6 Korea 1997 October 1997 December 3 3 KAC<br />
7 Malaysia 1997 July 1998 January 7 5 KAC<br />
8 Russia 1998 August 1998 September 2 2 KAC<br />
9 Thailand 1997 July 1997 August 2 2 KAC<br />
10 Turkey 2000 November 2001 March 5 3 KAC<br />
11 Uruguay 2002 July 2002 July 1 1 KAC<br />
1 Argentina 1998 August 1998 August 1 1 CG<br />
2 Brazil 2002 July 2002 July 1 1 CG<br />
3 Bulgaria 1998 August 1998 August 1 1 CG<br />
4 Chile 1999 June 1999 June 1 1 CG<br />
5 Chile 2002 June 2002 June 1 1 CG<br />
6 Colombia 1998 April 1998 September 6 3 CG<br />
7 Colombia 2002 July 2002 August 2 2 CG<br />
8 Hungary 2003 June 2003 June 1 1 CG<br />
9 Indonesia 2004 January 2004 January 1 1 CG<br />
10 Mexico 1994 December 1995 March 4 3 CG<br />
11 Mexico 1998 August 1998 August 1 1 CG<br />
12 Peru 1998 August 1998 December 5 2 CG<br />
13 Philippines 1997 August 1997 August 1 1 CG<br />
14 Poland 1998 August 1998 August 1 1 CG<br />
15 South Africa 1996 April 1996 April 1 1 CG<br />
16 South Africa 1998 July 1998 July 1 1 CG<br />
17 South Africa 2001 December 2001 December 1 1 CG<br />
18 Turkey 1998 August 1998 August 1 1 CG<br />
19 Venezuela 1994 June 1994 June 1 1 CG<br />
20 Venezuela 1998 August 1998 August 1 1 CG<br />
21 Venezuela 2003 January 2003 January 1 1 CG<br />
Source: Table 1 <strong>of</strong> Ramakrishnan and Zalduendo (2006).<br />
1/ Market pressures identified by classifying monthly data into five clusters based on an index <strong>of</strong> market pressures<br />
that includes changes in REER, FX reserves, and spreads. The listed countries are in the cluster with the highest market pressures.<br />
2/ Private capital flows (net <strong>of</strong> FDI) is used for distinguishing between KAC and CG episodes. A KAC event requires two<br />
quarters <strong>of</strong> either medium outflows or high outflows (as defined by cluster analysis) in the four quarters that follow the<br />
build-up <strong>of</strong> market pressures. All other episodes are in the control group (CG).<br />
3/ Numbers <strong>of</strong> months from the beginning to the end <strong>of</strong> each market pressure episode.<br />
32. Their econometric analysis (discussed in <strong>IMF</strong> 2006) shows that:<br />
• Less flexible exchange rate regimes are associated with a higher likelihood that a market<br />
pressure event turns into a crisis and an overvalued exchange rate (relative to trend) is<br />
significantly associated with a higher likelihood <strong>of</strong> a crisis.<br />
• Lower external debt (as a percent <strong>of</strong> GDP) is significantly associated with a lower<br />
likelihood <strong>of</strong> a crisis.
- 21 -<br />
• A higher stock <strong>of</strong> foreign exchange reserves (as a percent <strong>of</strong> reserves) is significantly<br />
associated with a lower likelihood <strong>of</strong> a crisis.<br />
• Stronger policies—tighter monetary policy or greater fiscal adjustment (particularly in<br />
the context <strong>of</strong> a Fund-supported program)—are significantly associated with a lower<br />
likelihood <strong>of</strong> a crisis.<br />
• An on-track <strong>IMF</strong>-supported program is associated with a lower likelihood <strong>of</strong> a crisis, but<br />
the effect is not statistically significant.<br />
• Availability <strong>of</strong> Fund resources is a significant factor in crisis prevention: the larger are<br />
the available Fund resources (as a share <strong>of</strong> short-term debt), the lower is the likelihood <strong>of</strong><br />
a crisis.<br />
33. These results suggest that there is an important liquidity effect <strong>of</strong> Fund support on<br />
crisis prevention since it is the availability <strong>of</strong> Fund resources (disbursements or their<br />
availability for drawing under an on-track precautionary program) that matters, rather than<br />
just an on-track program or possible future drawings under the arrangement.<br />
34. The benefits <strong>of</strong> Fund support go beyond the liquidity effects, however, since the<br />
available Fund financing variable is significant even controlling for the country’s available<br />
foreign exchange reserves. Part <strong>of</strong> the effect must thus arise from a combination <strong>of</strong> stronger<br />
policies (i.e., beyond the fiscal balance and real interest rates included in the regressions)<br />
bolstered by conditionality and in the “seal <strong>of</strong> approval” implicit in Fund disbursements.<br />
Moreover, since the program dummy is not statistically significant, but the Fund financing<br />
variable is strongly significant, the strength and the credibility <strong>of</strong> the Fund’s signal appears to<br />
depend at least to some degree on the extent to which the Fund is willing to put to its own<br />
resources on the line.<br />
35. Finally, it bears emphasizing that the interaction <strong>of</strong> limited currency and maturity<br />
mismatches (low external debt-to-GDP and low short-term debt-to-reserves ratios), strong<br />
policies, and <strong>IMF</strong> financing is critical for crisis prevention. If there are large balance sheet<br />
mismatches and weak policies, not only is there a high probability <strong>of</strong> a crisis, the marginal<br />
impact <strong>of</strong> <strong>IMF</strong> financing on lowering the probability <strong>of</strong> crisis is also small—thus the country<br />
would be highly vulnerable to a crisis (Figure 5).
- 22 -<br />
Figure 5. Marginal Impact <strong>of</strong> Fund Financing, Given Country Fundamentals 1/<br />
Probability<br />
<strong>of</strong> crisis<br />
1.00<br />
0.80<br />
0.60<br />
0.40<br />
Average Fund financing among<br />
KAC episodes<br />
Maximum level <strong>of</strong> Fund financing<br />
among KAC episodes<br />
P(crisis; best<br />
covariates)<br />
P(crisis; median<br />
covariates)<br />
0.20<br />
0.00<br />
0.00 0.05 0.10 0.15<br />
Fund financing<br />
(as share STD)<br />
P(crisis; worst<br />
covariates)<br />
1/ B d i 4 i T bl 2 F d fi i i d fi d h l i di b 12<br />
Source: Figure 7 <strong>of</strong> Ramakrishnan and Zalduendo (2006).<br />
1/ Based on Regression 4 in Table 2 <strong>of</strong> Ramakrishnan and Zalduendo (2006). Fund financing<br />
is defined as cumulative disbursements over 12 months as a share <strong>of</strong> short-term debt. The<br />
figure reflects the probability <strong>of</strong> crisis for different countries based on covariate contributions<br />
at time t-1. Vertical lines are also measured at t-1 and represent, respectively, the average and<br />
maximum level <strong>of</strong> Fund financing among crisis episodes.<br />
V. CONCLUSIONS<br />
36. For most emerging market countries, current market conditions are exceptionally<br />
benign with spreads almost an order <strong>of</strong> magnitude lower than just a few years ago. Yet recent<br />
events have also shown that these countries remain susceptible to shifts in market sentiment.<br />
Therefore, the currently benign conditions should not breed complacency but instead provide<br />
some breathing space for countries to address existing vulnerabilities. 19<br />
37. Most capital account crises appear to have been caused by foreign currency and<br />
maturity mismatches on private or public sector balance sheets coupled with a specific<br />
trigger—domestic or external. Based on the experience <strong>of</strong> these countries, this paper has<br />
sought to identify where and how such balance sheet vulnerabilities might arise.<br />
38. Turning to factors that determine whether a crisis will occur, empirical analysis<br />
suggests that minimizing balance sheet mismatches (a low external debt ratio, a low shortterm<br />
debt-to-reserves ratio), strong macroeconomic policies, and avoiding overvaluation <strong>of</strong><br />
the exchange rate, contribute to reducing the likelihood <strong>of</strong> a crisis. Given that holding foreign<br />
exchange reserves is costly, a particularly interesting result is that <strong>IMF</strong> resources disbursed<br />
(or available under a precautionary program) have an even larger impact on crisis prevention<br />
than the country’s own reserves. This probably reflects a combination <strong>of</strong> stronger policies<br />
19 For example, over the past couple <strong>of</strong> years, Brazil has been reducing the foreign currency<br />
exposure <strong>of</strong> its public sector balance sheet.
- 23 -<br />
under an <strong>IMF</strong>-supported program, the greater credibility <strong>of</strong> the authorities’ policies, and the<br />
stronger signal to markets <strong>of</strong> the <strong>IMF</strong> putting its own resources on the line.
- 24 -<br />
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